학술논문

The Expected–Projection Method: Its Behavior and Applications to Linear Operator Equations and Convex Optimization
Document Type
research-article
Author
Source
1(1):93-108
Subject
Convex set
metric projection
Bochner integral
asymptotic center of sequence
stochastic convex feasibility problem
optimization problem
Language
English
ISSN
1425-6908
1869-6082
Abstract
It was shown by Butnariu and Flåm [J. Nnmer. Funct. Anal. Optim. 15: 601–636, 1995] that, under some conditions, sequences generated by the expected projection method (EPM) in Hilbert spaces approximate almost common points of measurable families of closed convex subsets provided that such points exist. In this work we study the behavior of the EPM in the more general situation when the involved sets may or may not have almost common points and we give necessary and sufficient conditions for weak and strong convergence. Also, we show how the EPM can be applied to finding solutions of linear operator equations and to solving convex optimization problems.